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Exam 1: Introduction

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Question 1

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Data-driven decision making tends to decrease a firm's

A) market value.
B) productivity.
C) risk.
D) profit.

E) A) and D)
F) A) and C)

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verified

C

Question 2

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A decision concerned with how the organization is run from day to day is known as a(n) _______________.

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operationa...

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Question 3

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In order to manage an organization's human resource activities, such as hiring employees, tracking, and influencing employee retention, HR personnel use

The extraction of information on the number of shipments, how much was included in each shipment, the date each shipment was sent, and so on from the manufacturing plant's database exemplifies

______________________ refers to a programming model used within Hadoop that performs the two major steps for which it is named: the map step and the reduce step.

The decisions concerning an organization's goals and future plans are called

Veracity has to do with how much __________________ is in the data.

The use of probability and statistics to construct a computer model to study the impact of uncertainty on the decision at hand is called _____________________.

An increase in data ____________________ would help to protect stored data from destructive forces or unauthorized users.​

Which of the following analytical techniques helps us arrive at the best decision?

______________________ is the most critical step of the decision-making process.

__________ is an open-source programming environment that supports big data processing through distributed storage and distributed processing on clusters of computers.

_______________ analytics use techniques that take input data and yield a best course of action.

A ____________________ decision is concerned with how the organization should achieve the goals and objectives set by its strategy.

Corporate-level managers use ______ to summarize sales by region, current inventory levels, and other company-wide metrics all in a single screen.

When a decision maker is faced with several alternatives and an uncertain set of future events, s/he uses ______ to develop an optimal strategy.

Data that are too large or too complex to be handled by standard data-processing techniques and typical desktop software are called _______________________ .​

​Utility theory is the study of the __________________ or relative desirability of a particular outcome that reflects the decision maker's attitude toward a collection of factors, such as profit, loss, and risk.

____________________ are analytical tools that describe what has happened.

____________________ are used in the pharmaceutical industry to assess the risk of introducing a new drug.